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Record W2974521649 · doi:10.3354/meps13137

Latitudinal gradient consistency in carbon and nitrogen stable isotopes of particulate organic matter in the Southern Ocean

2019· article· en· W2974521649 on OpenAlexaboutno aff
Boris Espinasse, EA Pakhomov, BPV Hunt, SJ Bury

Bibliographic record

VenueMarine Ecology Progress Series · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicIsotope Analysis in Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsTransectOceanographyBayParticulatesIsotopes of nitrogenδ15NEnvironmental scienceStable isotope ratioδ13CUpwellingGeographyGeologyEcology

Abstract

fetched live from OpenAlex

MEPS Marine Ecology Progress Series Contact the journal Facebook Twitter RSS Mailing List Subscribe to our mailing list via Mailchimp HomeLatest VolumeAbout the JournalEditorsTheme Sections MEPS 631:19-30 (2019) - DOI: https://doi.org/10.3354/meps13137 Latitudinal gradient consistency in carbon and nitrogen stable isotopes of particulate organic matter in the Southern Ocean B. Espinasse1,2,*, E. A. Pakhomov1,2,3, B. P. V. Hunt1,2,3, S. J. Bury4 1Department of Earth, Ocean and Atmospheric Sciences, University of British Columbia, 2020-2207 Main Mall, Vancouver, BC, V6T 1Z4, Canada 2Institute for the Oceans and Fisheries, University of British Columbia, AERL, 2202 Main Mall, Vancouver, BC, V6T 1Z4, Canada 3Hakai Institute, PO Box 309, Heriot Bay, BC, V0P 1H0, Canada 4National Institute of Water & Atmospheric Research Ltd (NIWA), 301 Evans Bay Parade, Greta Point, Wellington, 6021, New Zealand *Corresponding author: boris.espinasse@laposte.net ABSTRACT: The Southern Ocean is characterized by strong latitudinal gradients that delimit areas which differ in terms of hydrological properties and production dynamics. Stable isotope values of carbon (δ13C) and nitrogen (δ15N) of surface particulate organic matter (POM) collected along a repeated transect between Cape Town and the Antarctic continent in the Atlantic sector of the Southern Ocean during summer 2005/06, fall 2004 and winter 2006 were analyzed to investigate their seasonal variability. In addition, published transect data collected in other sectors of the Southern Ocean were compiled for a wider spatio-temporal study of the POM stable isotope patterns. Combined δ13C and δ15N values of POM appeared to be an effective tool for identifying circum-Antarctic, latitudinally arranged areas with specific water mass characteristics and separated by the major frontal systems. Furthermore, POM δ13C values showed year-around consistency. We identified a few mechanisms that should be taken into account to effectively model carbon and nitrogen isoscapes in the studied area. The average level of primary productivity needs to be known to explain slightly higher δ13C values occurring in the Atlantic sector between the Subantarctic and Antarctic Polar Fronts. In addition, δ13C and δ15N values were highly variable in the marginal ice zone, especially at the ice edge and in the middle of the Weddell gyre. Processes linked to ice dynamics and upwelling explained some of the outlying values, especially for δ15N. Improved comprehension of the main mechanisms driving changes in POM stable isotopes will enable satellite products to be used as predictors to model realistic isoscapes on the scale of the Southern Ocean over different temporal scales. KEY WORDS: δ13C and δ15N · POM · Ice edge · Antarctic divergence · Isoscapes Full text in pdf format Supplementary material PreviousNextCite this article as: Espinasse B, Pakhomov EA, Hunt BPV, Bury SJ (2019) Latitudinal gradient consistency in carbon and nitrogen stable isotopes of particulate organic matter in the Southern Ocean. Mar Ecol Prog Ser 631:19-30. https://doi.org/10.3354/meps13137 Export citation RSS - Facebook - Tweet - linkedIn Cited by Published in MEPS Vol. 631. Online publication date: November 21, 2019 Print ISSN: 0171-8630; Online ISSN: 1616-1599 Copyright © 2019 Inter-Research.

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How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.005
GPT teacher head0.196
Teacher spread0.191 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations32
Published2019
Admission routes1
Has abstractyes

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